Research Software Engineer

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Equilibrium Energy

πŸ“Remote - United States, Canada

Summary

Join Equilibrium Energy, a Series B clean energy startup, as a Research Software Engineer. You will design, develop, and maintain features for a utility-scale battery simulation platform, creating tools for visualizing simulation results and processing time-series data. This role requires expertise in software engineering (Python, C++, Julia), experience in machine learning or related fields, and familiarity with software development best practices. You will collaborate with engineers and researchers across time zones. Equilibrium offers competitive compensation, equity, unlimited vacation, flexible work schedule, remote work options, and professional development opportunities.

Requirements

  • 4+ years of production software engineering experience (Python, C++, Julia, or other applicable languages)
  • Experience working across the software / research boundary, preferably in one of the following domains: machine learning, optimization, quantitative trading, power systems research
  • Familiarity with software development best practices, including version control, code reviews, CI/CD, and testing
  • Experience analyzing computational results with tooling such as Jupyter notebooks and matplotlib or equivalent
  • Ability to proactively communicate and work cross-functionally to define and implement solutions in a complex technical environment
  • BA / BS / Master's degree in a quantitative discipline (e.g. Computer Science, Mathematics, Mechanical Engineering) or equivalent practical experience

Responsibilities

  • Design, develop, and maintain features for a utility-scale battery simulation platform
  • Create a platform for visualizing and inspecting battery simulation results that enables actionable insights from performance and risk metrics
  • Serve as a subject matter expert on simulation run mechanics and energy market logic
  • Build tools for the ingestion and processing of time series data from various internal and external sources
  • Assist in product development strategy, design, planning and productivity
  • Contribute your unique technical, user, and market knowledge to product strategy
  • Contribute to product roadmapping, resource planning and sprint management
  • Contribute to product development productivity improvements, including best practices, technical documentation, code reviews and automation / utility / abstraction packages
  • Serve as a member of our technical team across both engineering and research
  • Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code
  • Contribute to technical strategy and planning across the company

Preferred Qualifications

  • Domain experience in simulation of real-world assets (physical batteries, autonomous vehicles, etc.)
  • Working knowledge of modern cloud infrastructure and containerization tools (e.g. Docker, Kubernetes, AWS / GCP / Azure)
  • Experience with SQL-based databases (e.g. PostgreSQL) as well as tools and frameworks for working with databases programmatically (e.g. ORMs, JDBC, etc.)
  • Experience with speed/memory tradeoffs operating over large-scale datasets
  • Experience with optimization techniques, modeling packages, and solvers

Benefits

  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

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